public class DisjointObjectPropertyAxiomLearner extends ObjectPropertyHierarchyAxiomLearner<org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom>
Constructor and Description |
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DisjointObjectPropertyAxiomLearner(SparqlEndpointKS ks) |
Modifier and Type | Method and Description |
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AxiomScore |
computeScore(int candidatePopularity,
int popularity,
int overlap)
Compute the score of the axiom:
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org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom |
getAxiom(org.semanticweb.owlapi.model.OWLObjectProperty property,
org.semanticweb.owlapi.model.OWLObjectProperty otherProperty) |
getBeta, isBatchMode, isStrictMode, setBatchMode, setBeta, setEntityToDescribe, setStrictMode
setPropertyToDescribe, setStrictOWLMode, setUsePrecisionOnly
addFilterNamespace, explainScore, getAxiomType, getBestEvaluatedAxiom, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestAxioms, getCurrentlyBestEvaluatedAxiom, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getCurrentlyBestEvaluatedAxioms, getEntityToDescribe, getEvaluatedFramentSize, getLearningProblem, getMaxExecutionTimeInSeconds, getMaxFetchedRows, getNegativeExamples, getPositiveExamples, getReasoner, init, isReturnOnlyNewAxioms, isTimeout, isUseSampling, printSubset, setForceSPARQL_1_0_Mode, setKs, setLearningProblem, setMaxExecutionTimeInSeconds, setMaxFetchedRows, setProgressMonitor, setQueryExecutionFactory, setReasoner, setReturnOnlyNewAxioms, setUseSampling, start, wasTimeout
isInitialized
public DisjointObjectPropertyAxiomLearner(SparqlEndpointKS ks)
public org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom getAxiom(org.semanticweb.owlapi.model.OWLObjectProperty property, org.semanticweb.owlapi.model.OWLObjectProperty otherProperty)
getAxiom
in class ObjectPropertyHierarchyAxiomLearner<org.semanticweb.owlapi.model.OWLDisjointObjectPropertiesAxiom>
public AxiomScore computeScore(int candidatePopularity, int popularity, int overlap)
PropertyAxiomLearner
candidatePopularity
- |A|popularity
- |B|overlap
- |A AND B| DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2019 Jens Lehmann